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Augmented Reality: One of the central promises of the Internet of Things is to make our world smarter, that can only happen when the right information is provided at the right time. And to achieve that virtual reality and augmented reality is converging with IOT. Augmented reality technology is used to visualize data from hundreds of sensors simultaneously containing relevant and actionable information over a particular environment and transmitted to a augmented reality headset or glass from which user can get a real time view.
For example: Augmented reality technology can be used to guide workers in a manufacturing floor which is populated with machines. If the worker wears an augmented reality glass and looks at any machine, he can see the temperature of it. Or, if someone is operating heavy machinery, he can get a real-time view of which components are in need of replacing.
Making Medical Education Interactive:
Augmented reality can revolutionize education requiring hands-on training. Using 3-D images, medical students can explore, alter, and examine subjects like anatomy from every angle. Also A surgeon could guide interns through a procedure using a first-person view. Or a surgeon in the midst of a difficult procedure could consult an expert located outside of the operating room, and share a real-time view of the surgery.
Wearable Devices: Now a days various medical wearable devices implementing IOT are very popular among people for various objectives like heart rate monitoring, Blood Pressure Monitoring, Body temperature monitoring and for many other different purposes. Patient engagement and population health improvements can be facilitated by embracing wearable medical devices. This has three major benefits: connected information, target-oriented healthcare communities, and gamification.

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The Internet of Things (IoT) can be defined as "a pervasive and ubiquitous network which enables monitoring and control of the physical environment by collecting, processing, and analyzing the data generated by sensors or smart objects." The IoT is a more encompassing phenomenon, which includes Machine-to-Human communication (M2H), Radio Frequency Identification (RFID), Location-Based Services (LBS), Lab-on-a-Chip (LOC) sensors, Augmented Reality (AR), robotics and vehicle telematics.

The capability of embedded and distributed intelligence in the network is a core architectural component of the IoT for three main reasons:

Data Collection: Centralized data collection and smart object management do not provide the scalability required by the Internet. For example, managing several million sensors and actuators in a Smart Grid network cannot efficiently be done using a centralized approach.

Network Resource Preservation: Because network bandwidth may be scarce and collecting environmental data from a central point in the network unavoidably leads to using a large amount of the network capacity.

Closed Loop Functioning: For some use cases, the IoT requires reduced reaction times. For instance, sending an alarm via multiple hops from a sensor to a centralized system (which runs analytics) before sending an order to an actuator would entail unacceptable delays.

ATTACKS BASED ON NETWORK PROPERTIES
This type of attack comes in two forms: protocol- and layer speciﬁc compromise.

StandardProtocolCompromise:An attacker deviates from standard protocols (application and networking protocols) and acts maliciously to threaten service availability, message privacy, integrity, and authenticity.

Network Protocol Stack Attack: As shown in layered networking model diagram below, each layer of the protocol stack proposed by the IETF working group for the IoT network has different types of vulnerabilities that an adversary may exploit to launch malicious activities.

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Since IoT paradigms are still under development, there is difficulty in identification and prediction of vulnerabilities, threats and attacks associated with the IoT devices. To be able to mitigate the unseen or unpredictable issues that are yet to emerge, security services are expected to be designed with the dynamic properties.
To address this issue of new and emerging attacks which tend to threaten the integrity of data, the paper proposed a model which used protection services to reduce attacks and detection services to analyze captured data, using dynamic algorithms henceforth achieving inter-service collaboration.

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BIG DATA : Big data generated from diverse medical sensors and provide tools for increasing the efficiency of relevant health diagnosis and monitoring methods and stages.

Every Hospital Generate approx. 665 TB data.

Data Generated by IoT enabled Healthcare Application
1. 3D MRI - 150 MB
2. X RAY - 30 MB
3. MAMMOGRAMS - 120 MB
4. 3D CT SCAN - 1024 MB
5. Medical Image - 15 MB

NETWORK : Network are used for short - long range communication like WPANs, WBANs, WLANs, 6LoWPANs, WSNs and used Low Power IoT Sensor and Protocol.
AMBIENT INTELLIGENCE : The integration of IoT sensor with Human Interaction technologies we can create ambient Intelligence which is used for continues learning of human behavior and executes any required action triggered by a recognized event.
Benefits of BIG DATA with Ambient Intelligence supported by Robust Network Infrastructure:

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With the advent of plethora of IOT  based medical devices bring along
various security risks. The threats associated are broadly classified as   1. Information based
2. Host based
3. network based
Information or patient's data is meant to be a critical asse t for the health care sector . Hence , it becomes necessary to understand holistically about all possible attacks and scenarios related to it .
Information based attacks are classified as follows :
a) Interruption :  This hinders availability of patients data  when requested by the authorities . This can cause a great damage and can also lead to loss of life .

b)Interception :  This hinders confidentiality . An information is intercepted when an unauthorised 3rd party gets hold of the critical information . Eavesdropping is a classic example of interception attack .

c)Modification : As the name suggests it is to modify or make unwanted changes in the critical data that may further lead to perplex situations in the organisations or may also cause a great damage due to hampering of a critical business process (in health sector like operations and surgeries may go wrong due to incorrect data of patients).

d)Fabrication and replay : These hamper authenticity and creates confusion and can also mislead innocent users by injecting false information .

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Over the last few years, there have been quite a few IoT-centric attacks. And yet despite the attacks on the rise, IoT continues to enjoy an even greater surge in popularity.
Some of the worst attacks on IoT devices over the last few years-
1) DDoS attacks
As IoT expands so will IoT botnets — and their capacity to launch large-scale DDoS attacks. The Mirai DDoS attacks on the Dyn network were the most massive in history, with reported attack strength of 1.2 Tbps and taking down more than 80 major websites.
2)IoT ransomware attacks
Until recently, IoT ransomware was all theory. At the 2016 DEF CON conference, researchers demonstrated they could infect smart thermostats with ransomware.

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IoT Healthcare Technologies: The next decade may see a whole revolution in treatment and diagnosis of disease, as IoT is bought to bear on medicine. Certain used technologies used would be :
1. OpenAPS - closed-loop insulin delivery
2. Continuous glucose monitoring (CMG)
3. Activity Tracker
4. Inhaler Activities
5. Ingestible Sensors
Fog Computing allows organizations to use cloud computing to support IoT, especially in large environments where devices need to be communicating with each other and the data center. This allows devices that are accessing similar information to connect via a sub cloud network, called a fog layer.
Computing increases operational efficiency by allowing end users to access smaller, more specific data instead of users accessing information in a centralized, cloud-based infrastructure along with data they will never need to access.

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IOT is growing at an explosive rate, In Health care network and devices are vulnerable so here security comes into picture.
Securing an IoT infrastructure requires an end-to-end approach, from the physical devices and sensors to the services and data in the cloud. Part of the challenge is identifying which medical devices are attached to networks.
There can be three scenarios-
1) expansion of  native and cloud network, cloud services.
2)Increased communication between devices, network and applications.
3)Hardware and software limitations
An adversary may attack the system by attacking iot devices or network and can gain unauthorized access in order to make own benefit.